MyoHMI is an Android-based Neural-Machine Interface capable of recognizing a user's physical intent from surface EMG signals, useful for medical applications such as Stroke Rehabilitation and Amputees.

The T'ena Sensor app allows users to record and view IMU data received from the sensor after performing sets of exercises.

Using a Convolutional Neural Network, we can predict a user's muscular intent based on Electromyography signals.

From Texas Instruments, the TM4C123 Microcontroller allows programmers to become comfortable with the ARM Architecture.

Using a wide variety of components, I apply my knowledge of electric circuits as well as C to building various projects using my Raspberry Pi, challenging myself to go beyond the instruction manual.

A humble attempt at developing a 2D Platformer, I built this game as a fun way to further my knowledge and confidence in JavaScript using the game development framework known as Phaser.js.

A game of Tic-Tac-Toe built while I was learning to use React. Each piece of the game, such as the board and individual squares, are represented by their own component with their own attributes. Furthermore, the components are also capable of tracking their own state, allowing us to "time travel" to any move made previously.

The Cyclone V Field-Programmable Gate Array (FPGA) from Intel allows us to easily emulate hardware designs without having to go through the lengthy fabrication process required by an ASIC Chip.

Though they are not reprogrammable, Integrated Circuits are ideal for achieving optimal speed and power consumption due to their dedicated hardware.